DMD Clinical Trial Simulator & Biomechanical Visualizer

A precision medicine interface utilizing clinical trial parameters to model dynamic, longitudinal disease progression in Duchenne Muscular Dystrophy (DMD). Customize therapies, visualize 2D joint kinematics during walking, and observe how precise modifications alter decay trajectories.

🧬 Clinical Parameters

👤 Patient Definition

Drag or Upload Patient CSV

🧬 Genetic Profile
💊 Therapeutic Regimen
Corticosteroids
Target ratio: 0.61 mg/kg/day
Serial Casting
Therapy Match: N/A

📊 Longitudinal Projections (Age 4-18)

👟 Sagittal Joint Kinematics Simulator

Estimated Walking Cadence: 85 steps/min

📋 Empirical Clinical Trial Observations

Real patient data points extracted from DMD SRP-4045-301 and Ataluren PTC124 clinical registries. Click a row to load the patient genotype and compare outcomes directly.

ID Age (y) Mutation Exon Steroids Start Age Trial Program 6MWT NSAA
âš¡ DEMO ACTIVE - Click to Control

Overview

Duchenne Muscular Dystrophy (DMD) is a progressive, X-linked neuromuscular condition caused by genetic mutations within the 79-exon dystrophin gene. Lacking functional dystrophin, muscle fibers undergo shear stress, mechanical necrosis, and ongoing inflammatory degeneration, eventually being replaced by fibrotic adipose tissue. Standard medical management relies on corticosteroids to slow progression, while emerging therapies attempt gene-level repair.

This simulator models muscular dystrophy clinical trial parameters to track disease progression. It integrates standard pediatric growth curves with biological drug mechanisms to show how early interventions can delay loss of walking ability.

How to Use

  1. Configure Patients: Toggle between the Virtual Sandbox or real-world profiles (Patients #1 to #4) to automatically configure mutations.
  2. Adjust Pharmacology: Toggle corticosteroid treatments, alter steroid commencement age, and modulate daily doses. Real-time updates calculate estimated mg/kg/day ratios based on patient weight percentiles.
  3. Apply Orthopedic Interventions: Toggle Serial Casting to see how contracture care prolongs functional ambulation on the 6MWT decay curve.
  4. Upload Custom Trial Data: Drop a CSV file containing columns Age, 6MWT, NSAA onto the upload zone to display your own datasets on the active graphs.
  5. Explore Walk Kinetics: Unmute the gait controller and drag the Current Patient Age slider to hear physical gait changes. The 2D skeleton canvas dynamically visualizes myopathic pelvic drops, crouched knee angles, and transitions to wheelchair states.

Technical Details & Equations

The progression simulation relies on empirical modeling equations that describe natural disease histories and therapeutic adjustments:

// Pediatric Growth Curve weight scaling:
EstimatedWeight(Age) = (Age < 10) ? (Age * 2.8 + 8) : (Age * 3.4 + 2);
// Steroid-induced weight accumulation factor:
If SteroidsOn: EstimatedWeight = EstimatedWeight * 1.12;

// Therapeutic Dosage Weight Ratio:
DosageRatio = SteroidDose / EstimatedWeight; // target is Deflazacort ~0.9 mg/kg/day

Biomechanical Joint Angles: Standard myopathic gait is characterized by dynamic pelvic drop, knee contracture, and hip flexion weakness. Stride parameters are computed as follows:

StrideLength = (6MWT / 550) * MaxStride;
KneeFlexionAngle = StandardFlexion * (1.0 + (1.0 - (6MWT / 550)) * 0.45); // progressive crouched posture

Sandbox Separation & Demo Engine: The automated Demo Engine clones the user parameters into an isolated execution runtime state. It automatically advances the time and parameter scales without modifying active user settings, enabling hands-free observation. Pressing any interface control exits Demo Mode instantly, returning the user to their initial configurations.

Future Directions

  • Biomarker Integration: Expanding mathematical variables to map serum Creatine Kinase (CK) values and histopathology fiber-size distributions.
  • Trombone/Dynamic Gait Kinematics: Integrating live 3D kinematic avatars using WebGL to visualize biomechanical pelvic tilt and dynamic ankle contractures in real-time.
  • Multi-Omics Connectivity: Linking simulated trial targets directly to Ensembl APIs for precise exon mutation indexing.